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3 Journal of Medical Informatics & Technologies

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Biometrical identification on the ground of the eye movement, executed by means of the artificial neural network

Brzeski R., Ober J.

Journal of Medical Informatics & Technologies

2004

Vol. 7

KB47--54

In this article was written attempt to use the eye movement to biometrics identification. There are few words about theory of biometrics identification. After that there is described the way of recording of data. It is made by system ‚Ober2’. To process collected data the algorithms of artificial neural network are used. For this need, dedicated application was written. Functionality of the application, in article was described, as well as the examples - results of working of the artificial neural networks, for chosen criterions of researches. The plans for future researches were placed at the end of the article.

Multilayer model of the oculomotoric system for computer based diagnosis of squint

Pojda D., Ober J.

Journal of Medical Informatics & Technologies

2003

Vol. 6

IT79--85

Classical models of the oculomotoric system only represent the relationship between neural stimulation and eye movement. If we cannot determine the neural activity, then classical models prove inapplicable. At this paper we outline a system for simulation of the neural activation signal based on simple visual stimulation. We have used the idea of a multilayer brain structure. Different layers of the brain are responsible for subsequent layers of perception. Measurements made with the OBER2 system allowed us to evaluate the relationship between two signals: visual stimulation presented on the screen and eye movement measured by detectors. Applying the proposed multilayer model to generate a signal that will be the input for classical model of the oculomotoric system should make it possible to estimate some parameters that describe the work of muscles. We do not need to measure neural activity, provided that the neural system is working normally.

Correlating the degree of observer's preoccupation and the observation time: visual tasks with OBER2 eyetracker

Augustyniak P., Mikrut Z.

Journal of Medical Informatics & Technologies

2002

Vol. 4

MT1--8

This paper describes a set of visual tasks performed with a goal to find a correlation between observer's preoccupation and the observation time. Several aspects of objects differentiation were investigated: shape complexity, colour, uniqueness and size. Four visual tasks were performed by 10 volunteers. The eyeball position was captured with use of the OBER 2 eyetracker based on the infrared beam reflection measurements. Finally the recorded eyeball traces were subject of statistical processing. Interesting findings are the high attractiveness of complicated shapes and no influence of object's size on the observation time. Another result is an unexpected high inter-observers variation of attention difference in each visual task. The results play a key role in our research on perceptual model of biomedical signals and images. The other applications may be found in the area of visual information usability, ergonomics or perception-like control of automated visual systems.